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体素基病变参数映射:识别单词产生计算模型的神经关联。

Voxel-based lesion-parameter mapping: Identifying the neural correlates of a computational model of word production.

机构信息

Beckman Institute, University of Illinois, Urbana-Champaign, Urbana, IL 61801, USA.

出版信息

Cognition. 2013 Sep;128(3):380-96. doi: 10.1016/j.cognition.2013.05.007. Epub 2013 Jun 11.

Abstract

The dual-route interactive two-step model explains the variation in the error patterns of aphasic speakers in picture naming, and word and nonword repetition tasks. The model has three parameters that can vary across individuals: the efficiency of the connections between semantic and lexical representations (s-weight), between lexical and phonological representations (p-weight), and between representations of auditory input and phonological representations (nl-weight). We determined these parameter values in 103 participants with chronic aphasia from left hemisphere stroke whose lesion locations had been determined. Then, using voxel-based lesion-parameter mapping, we mapped the parameters onto the brain, thus determining the neural correlates of the model's mechanisms. The maps and the behavioral findings supported the model's central claim that word repetition is affected by both the p and nl parameters. We propose that these two parameters constitute the model's analogue of the "dorsal stream" component of neurocognitive models of language processing.

摘要

双重通路互动两步模型解释了失语症患者在图片命名、单词和非单词重复任务中错误模式的变化。该模型有三个可在个体间变化的参数:语义和词汇表示之间的连接效率(s 权重)、词汇和语音表示之间的连接效率(p 权重)以及听觉输入和语音表示之间的连接效率(nl 权重)。我们在 103 名来自左侧大脑半球卒中的慢性失语症患者中确定了这些参数值,这些患者的病变位置已经确定。然后,我们使用基于体素的病变参数映射将参数映射到大脑上,从而确定模型机制的神经相关性。图谱和行为发现支持了该模型的核心主张,即单词重复受 p 和 nl 参数的影响。我们提出,这两个参数构成了该模型对语言处理神经认知模型“背侧流”成分的模拟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9201/3709005/f9db1b8f6400/nihms-485504-f0001.jpg

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